Powering the telco to techco evolution through polycloud, agentic AI, and digital trust

Powering the telco to techco evolution through polycloud, agentic AI, and digital trust Polycloud agility: The engine for real-time OpEx and QoE optimization From CSP to TSP: The power of trust and identity The adaptable enterprise: Why AI readiness is disruption readiness About the authors Dr. Volkan Sevindik Anand Venkat Wilson Toh More like this AI in telco – the catalyst for scaling digital business The nervous system gets a soul: why sovereign cloud is telco’s real second act Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The clock is ticking for communications service providers (CSPs). To survive in the telecommunications (telco) industry, every CSP should consider making steps to transition to a “techco” model, where CSPs don’t just provide connectivity but also software and platform innovation. StarHub, a leading Singapore CSP, has been driving its own telco-to-techco transformation for the past three years by emphasizing open source innovation, providing the backbone for polycloud agility and driving towards a future state as a trusted service provider (TSP). In the past, telcos were primarily faced with cost-driven decisions about what workloads ran on premise versus what ran in the public cloud. But for a techco evolution, CSPs like StarHub need to weigh costs with what delivers the best user experience, and what combination of compute, cloud, and platform deliver this balance. Enter polycloud. Polycloud is more than just using multiple public clouds. Its applications and workloads run across different cloud environments with the built-in intelligence to select the right place for the right workload at the right time. StarHub sees this creating deeper AI-readiness, especially for agentic AI frameworks that can work across every environment and cloud provider. StarHub envisions an underlying architecture that can, in real-time, select the best environment to run diverse workloads for their consumer and business clients. This could be moving low latency, demanding workloads to the edge, shifting data analytics heavy apps to a public cloud, or taking compliance-driven apps to a private cloud.